fix

A debugging workflow that investigates software bugs by turning a plain-language report into a small failing test, then comparing possible causes using evidence.

In plain words
What is it for?
Use it to reproduce bugs, test hypotheses about their cause, and guide a fix for failing tests or production problems.
Why use it?
It gives structure to debugging when something does not work, production has failed, or a test turns red after a code merge. It separates diagnosis from planning and implementation.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/supostat/mneme-plugin/fix
Any agent
npx skills add supostat/mneme-plugin --skill fix
Clone the repo
git clone --depth 1 https://github.com/supostat/mneme-plugin

Made for: Claude Code, Codex.

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,071 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00039 $0.05071
Opus 5 $0.00019 $0.02535
Sonnet 5 $0.00008 $0.01014
Haiku 4.5 $0.00004 $0.00507

Measured 2d ago against content hash f2f693d95e71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

fix scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Subtle steeringmediumPrompt injection

Instructions that bias recommendations or shape behaviour without the user noticing.

- NEVER tell the user to operate `staging_list` / `staging_resolve` — the agent calls the tools on
plugin/skills/fix/SKILL.md · 312 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 312 lines · 39 tokens per session scan B f2f693d95e71

Subscribe to this mod's changes

fix is a skill published in the GitHub repository supostat/mneme-plugin (1 stars, last pushed 3d ago), with no licence file. It adds 39 tokens to every session and 5,071 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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